github.com/ava-labs/subnet-evm@v0.6.4/metrics/writer.go (about)

     1  package metrics
     2  
     3  import (
     4  	"fmt"
     5  	"io"
     6  	"strings"
     7  	"time"
     8  
     9  	"golang.org/x/exp/slices"
    10  )
    11  
    12  // Write sorts writes each metric in the given registry periodically to the
    13  // given io.Writer.
    14  func Write(r Registry, d time.Duration, w io.Writer) {
    15  	for range time.Tick(d) {
    16  		WriteOnce(r, w)
    17  	}
    18  }
    19  
    20  // WriteOnce sorts and writes metrics in the given registry to the given
    21  // io.Writer.
    22  func WriteOnce(r Registry, w io.Writer) {
    23  	var namedMetrics []namedMetric
    24  	r.Each(func(name string, i interface{}) {
    25  		namedMetrics = append(namedMetrics, namedMetric{name, i})
    26  	})
    27  	slices.SortFunc(namedMetrics, namedMetric.cmp)
    28  	for _, namedMetric := range namedMetrics {
    29  		switch metric := namedMetric.m.(type) {
    30  		case Counter:
    31  			fmt.Fprintf(w, "counter %s\n", namedMetric.name)
    32  			fmt.Fprintf(w, "  count:       %9d\n", metric.Snapshot().Count())
    33  		case CounterFloat64:
    34  			fmt.Fprintf(w, "counter %s\n", namedMetric.name)
    35  			fmt.Fprintf(w, "  count:       %f\n", metric.Snapshot().Count())
    36  		case Gauge:
    37  			fmt.Fprintf(w, "gauge %s\n", namedMetric.name)
    38  			fmt.Fprintf(w, "  value:       %9d\n", metric.Snapshot().Value())
    39  		case GaugeFloat64:
    40  			fmt.Fprintf(w, "gauge %s\n", namedMetric.name)
    41  			fmt.Fprintf(w, "  value:       %f\n", metric.Snapshot().Value())
    42  		case GaugeInfo:
    43  			fmt.Fprintf(w, "gauge %s\n", namedMetric.name)
    44  			fmt.Fprintf(w, "  value:       %s\n", metric.Snapshot().Value().String())
    45  		case Healthcheck:
    46  			metric.Check()
    47  			fmt.Fprintf(w, "healthcheck %s\n", namedMetric.name)
    48  			fmt.Fprintf(w, "  error:       %v\n", metric.Error())
    49  		case Histogram:
    50  			h := metric.Snapshot()
    51  			ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
    52  			fmt.Fprintf(w, "histogram %s\n", namedMetric.name)
    53  			fmt.Fprintf(w, "  count:       %9d\n", h.Count())
    54  			fmt.Fprintf(w, "  min:         %9d\n", h.Min())
    55  			fmt.Fprintf(w, "  max:         %9d\n", h.Max())
    56  			fmt.Fprintf(w, "  mean:        %12.2f\n", h.Mean())
    57  			fmt.Fprintf(w, "  stddev:      %12.2f\n", h.StdDev())
    58  			fmt.Fprintf(w, "  median:      %12.2f\n", ps[0])
    59  			fmt.Fprintf(w, "  75%%:         %12.2f\n", ps[1])
    60  			fmt.Fprintf(w, "  95%%:         %12.2f\n", ps[2])
    61  			fmt.Fprintf(w, "  99%%:         %12.2f\n", ps[3])
    62  			fmt.Fprintf(w, "  99.9%%:       %12.2f\n", ps[4])
    63  		case Meter:
    64  			m := metric.Snapshot()
    65  			fmt.Fprintf(w, "meter %s\n", namedMetric.name)
    66  			fmt.Fprintf(w, "  count:       %9d\n", m.Count())
    67  			fmt.Fprintf(w, "  1-min rate:  %12.2f\n", m.Rate1())
    68  			fmt.Fprintf(w, "  5-min rate:  %12.2f\n", m.Rate5())
    69  			fmt.Fprintf(w, "  15-min rate: %12.2f\n", m.Rate15())
    70  			fmt.Fprintf(w, "  mean rate:   %12.2f\n", m.RateMean())
    71  		case Timer:
    72  			t := metric.Snapshot()
    73  			ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
    74  			fmt.Fprintf(w, "timer %s\n", namedMetric.name)
    75  			fmt.Fprintf(w, "  count:       %9d\n", t.Count())
    76  			fmt.Fprintf(w, "  min:         %9d\n", t.Min())
    77  			fmt.Fprintf(w, "  max:         %9d\n", t.Max())
    78  			fmt.Fprintf(w, "  mean:        %12.2f\n", t.Mean())
    79  			fmt.Fprintf(w, "  stddev:      %12.2f\n", t.StdDev())
    80  			fmt.Fprintf(w, "  median:      %12.2f\n", ps[0])
    81  			fmt.Fprintf(w, "  75%%:         %12.2f\n", ps[1])
    82  			fmt.Fprintf(w, "  95%%:         %12.2f\n", ps[2])
    83  			fmt.Fprintf(w, "  99%%:         %12.2f\n", ps[3])
    84  			fmt.Fprintf(w, "  99.9%%:       %12.2f\n", ps[4])
    85  			fmt.Fprintf(w, "  1-min rate:  %12.2f\n", t.Rate1())
    86  			fmt.Fprintf(w, "  5-min rate:  %12.2f\n", t.Rate5())
    87  			fmt.Fprintf(w, "  15-min rate: %12.2f\n", t.Rate15())
    88  			fmt.Fprintf(w, "  mean rate:   %12.2f\n", t.RateMean())
    89  		}
    90  	}
    91  }
    92  
    93  type namedMetric struct {
    94  	name string
    95  	m    interface{}
    96  }
    97  
    98  func (m namedMetric) cmp(other namedMetric) int {
    99  	return strings.Compare(m.name, other.name)
   100  }